Photovoltaic Module Maximum Power Point Tracking via Shading Segmentation
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Solution Overview
Problem
Traditional photovoltaic module systems face challenges in rapidly and precisely tracking the maximum power point due to changing environmental temperature and irradiation intensity, which affects the voltage and current coefficients, leading to inefficiencies and potential energy loss.
Innovation Solution
A method and device for tracking the maximum power point of a photovoltaic module system that involves detecting system and environmental parameters, estimating voltage coefficients, and determining local maximum power points to find the whole maximum power point, using a control device with a parameter detecting unit and a micro control unit to adjust the operation voltage for optimal power generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional photovoltaic modules use experimental voltage and current coefficients, then the system can operate with simple initial setup, but the maximum power point tracking becomes inaccurate when environmental temperature and irradiation intensity change
Solution Approach 1:
The patent segments the photovoltaic module array into multiple groups based on shading ratios. Each group has its own voltage coefficient estimates, allowing accurate tracking even when parts of the array are shaded. This segmentation enables the system to handle different environmental conditions for different portions of the array simultaneously.
Solution Approach 2:
The patent dynamically changes voltage coefficient parameters based on detected environmental conditions (temperature, irradiation intensity) and shading ratios. Instead of using fixed experimental coefficients, the system estimates and updates voltage coefficients in real-time, thereby maintaining accurate maximum power point tracking under varying environmental conditions.
2Speed
If the system uses fixed voltage and current coefficients from experimentation, then the initial system setup is simple, but the tracking speed and responsiveness to environmental changes are insufficient
Solution Approach 1:
The patent performs preliminary estimation of voltage coefficients based on detected environmental parameters and shading ratios before actual maximum power point tracking begins. This preliminary action prepares the system with accurate coefficient values in advance, enabling faster and more responsive tracking when environmental conditions change.
Solution Approach 2:
The system continuously detects environmental parameters (temperature, irradiation intensity) and shading conditions, then feeds this information back to update voltage coefficient estimates. This feedback loop enables the system to adapt quickly to environmental changes and maintain optimal tracking speed and accuracy.
3Loss of energy
If the system does not account for different shading ratios, then the control algorithm remains simple, but energy loss occurs due to inaccurate maximum power point identification
Solution Approach 1:
The patent applies local quality by estimating voltage coefficients specific to each shading condition. Different portions of the photovoltaic module array experiencing different shading ratios have their own tailored voltage coefficient estimates, ensuring that each local region operates at its optimal power point rather than using a single average coefficient for the entire array.
Solution Approach 2:
The system dynamically adjusts voltage coefficients based on real-time detection of shading ratios and environmental conditions. Instead of using static coefficients, the system continuously adapts the voltage coefficients to match current operating conditions, thereby minimizing energy loss due to mismatched tracking.
Data Source
AI summary
A method of maximum power point tracking for a photovoltaic module system is disclosed. The photovoltaic module system may comprise a photovoltaic module array comprising a plurality of identical photovoltaic modules, and the tracking method may comprise: detecting system parameters and environmental parameters of the photovoltaic module array; estimating a first voltage coefficient of one photovoltaic module according to the system parameters and the environmental parameters; estimating a plurality of second voltage coefficients of the photovoltaic module array according to the first voltage coefficient with different shading ratios; estimating a plurality of local maximum power point powers according to corresponding second voltage coefficients; and determining a whole maximum power point by comparing the local maximum power point powers with one another.